Theoretical Aspects of Neural Computation: A Multidisciplinary Perspective

Beschreibung

Over the past decade or so, neural computation has emerged as a research area with active involvement by researchers from a number of different disciplines, including computer science, engineering, mathematics, neurobiology, physics, and statistics. The workshop brought together researchers with a diverse background to review the current status of neural computation research. Three aspects of neural computation have been emphasized: neuroscience aspects, computational and Mathematical aspects, and statistical physics aspects. This book contains 28 contributions from frontier researchers in these fields. Thoroughly re-edited, and in some cases revised post-workshop, these papers collated into this review volume provide a top-class reference summary of the state-of-the-art work done in this field.
This book contains the revised and edited version of the papers presented at the Hong Kong International Workshop on Theoretical Neural Computation: A Multidisciplinary Perspective, held May 1997 in Hong Kong. Important aspects of this book are: - it is a collection of work by well-known international researchers on the topics of neural networks, learning theory, statistical mechanics, and computational neuroscience. - readers will benefit from learning what the current frontier research in the field from a multidisciplinary view is.

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Kwok-Yee M. Wong

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